Abstract
A multi-server queueing system with a Markovian arrival process (MAP), a finite buffer and impatient heterogeneous customers useful in modeling a call center is investigated. The servers are identical and independent of each other. The service time of a customer has a Phase type distribution (PH). If all servers are busy at a customer arrival epoch, the customer moves to the buffer with probability, which depends on the number of customers in the system, or, alternatively, leaves the system forever. During a waiting period the customers can be impatient and leave the system. An efficient algorithm for calculating the stationary probabilities of system states is proposed. A special approach for reducing the system dimension is used. Some key performance measures are calculated. The Laplace-Stieltjes transforms of the sojourn and waiting time distribution are derived. Some illustrative numerical results are presented.
| Original language | English |
|---|---|
| Pages (from-to) | 958-976 |
| Number of pages | 19 |
| Journal | Applied Mathematical Modelling |
| Volume | 37 |
| Issue number | 3 |
| DOIs | |
| State | Published - 2013.02.1 |
Keywords
- Call center
- Impatient heterogeneous customers
- Markovian arrival process
- Multi-server queueing system
- Phase type service time distribution
Quacquarelli Symonds(QS) Subject Topics
- Mathematics
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